Senior Software Engineer, Console Platform

United States

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$168,200 – $227,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have at least 7 years of experience in developing distributed backend systems with Java and 3 years of experience designing and delivering highly available services. Proficiency in RESTful services, API design, and web technologies is required, along with experience working with data pipelines. A degree in Computer Science or equivalent practical experience is necessary, as well as strong communication and collaboration skills with a team-first, product-focused mindset.

Responsibilities

The Senior Software Engineer will design, develop, and maintain an API platform that enables engineers to contribute and expand its capabilities. They will partner with product management to define and refine project requirements, build scalable engineering solutions to address complex customer needs, and collaborate closely with engineers within the Console Platform team and across other engineering teams. Additionally, they will continuously enhance and improve engineering best practices.

Skills

RESTful services

API design

Java

Distributed backend systems

Data pipelines

BigTable

Kafka

GCP

MongoDB

Postgres

Jenkins

Elasticsearch

gRPC

Sift

Real-time fraud detection and prevention platform

About Sift

Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.

Bristol, United KingdomHeadquarters

2011Year Founded

$4.4MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Risks

Rise of app-enabled friendly fraud challenges Sift's mobile fraud detection capabilities.

Reliance on third-party delivery apps by QSRs introduces new fraud risks for Sift.

Complex payment processes may complicate Sift's integration and effectiveness in fraud prevention.

Differentiation

Sift offers a comprehensive platform for real-time online fraud detection and prevention.

The company uses machine learning and AI to analyze vast amounts of data effectively.

Sift's dynamic friction feature ensures seamless user experience while blocking fraudsters.

Upsides

Growing demand for AI-driven fraud detection in QSRs presents expansion opportunities for Sift.

Digital-first banks' need for effective authentication aligns with Sift's fraud prevention solutions.

Global trend towards secure payment systems supports Sift's mission for digital trust and safety.

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